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Entry Level Data Analysis Jobs in Nevada (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Las Vegas, NV

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Las Vegas, NV

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

CACI International, Inc.

Data Entry Technician

Las Vegas, NV · On-site

$16.25 - $21.25/hr

This is an entry-level position. * One to two (1-2) years of general data entry experience ... Excellent written and oral communication skills and analytical abilities. * Ability to obtain and ...

Nextiny

Entry Level Digital Marketer

Las Vegas, NV

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

Sparks, NV

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Nextiny

Entry Level Digital Marketer

Henderson, NV

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

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All JobsEntry Level Data Analysis JobsEntry Level Data Analysis Jobs in Nevada

Entry Level Data Analysis information

See Nevada salary details

$13

$33

$62

How much do entry level data analysis jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for entry level data analysis in Nevada is $33.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.54 and $37.45 per hour, depending on experience, location, and employer.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

How to get hired as an entry-level data analyst?

To get hired as an entry-level data analyst, candidates should develop foundational skills in data analysis tools like Excel, SQL, and Python or R, and build a portfolio of relevant projects. Earning certifications such as Microsoft Data Analyst Associate or Google Data Analytics can improve prospects, along with gaining internship experience or completing relevant coursework. Strong communication skills and the ability to interpret data for non-technical audiences are also important.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

Is 40 too late for data science?

Entry level data analysis roles are accessible at any age, including at 40 or older. Success depends on acquiring relevant skills such as proficiency in Excel, SQL, and data visualization tools, as well as building a strong portfolio and gaining practical experience. Age is less important than skills, continuous learning, and adapting to industry tools and methods.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

Is AI replacing data analysts?

AI tools are automating certain repetitive tasks in data analysis, such as data cleaning and basic reporting, but they do not replace the need for skilled data analysts. Entry-level data analysis roles still require critical thinking, domain knowledge, and interpretation skills that AI cannot fully replicate. Professionals who develop expertise in data visualization, programming, and statistical methods remain valuable in the field.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Nevada? The most popular types of Data Analysis jobs in Nevada are:
What are popular job titles related to Entry Level Data Analysis jobs in Nevada? For Entry Level Data Analysis jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis jobs in Nevada look for? The top searched job categories for Entry Level Data Analysis jobs in Nevada are:
Entry Level Data Analysis jobs near you
Infographic showing various Entry Level Data Analysis job openings in Nevada as of June 2026, with employment types broken down into 62% Full Time, 21% Part Time, 3% Temporary, and 14% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $69,741 per year, or $33.5 per hour.

Entry-Level Data Entry Clerk - Construction Company

M&J ENTERPRISES CONSTRUCTION INC

Henderson, NV • On-site

$13 - $16/hr

Full-time

Posted 8 days ago

Job description

About the Role:

The Entry-Level Data Entry Clerk at our construction company plays a vital role in maintaining accurate and up-to-date records that support operational efficiency and project management. This position involves the meticulous input, verification, and management of various data related to construction projects, including materials, schedules, and financial information. The successful candidate will ensure that all data entered into our systems is precise and timely, enabling informed decision-making across departments. This role serves as a foundational support function that directly impacts the smooth execution of construction activities and administrative processes. Ultimately, the Data Entry Clerk contributes to the overall success of the company by providing reliable data that underpins project tracking and reporting.

Minimum Qualifications:

  • High school diploma or equivalent.
  • Basic computer proficiency, including familiarity with Microsoft Office Suite (Word, Excel).
  • Strong attention to detail and accuracy in data entry tasks.
  • Ability to follow instructions and work independently with minimal supervision.
  • Good organizational and time management skills.

Preferred Qualifications:

  • Previous experience in data entry or administrative support, preferably within the construction or related industry.
  • Strong written and verbal communication skills.
  • Ability to multitask and adapt to changing priorities in a fast-paced environment.

Responsibilities:

  • Accurately enter and update data related to construction projects, including inventory, schedules, and financial records, into company databases and software systems.
  • Review and verify data for completeness and accuracy, identifying and correcting errors or inconsistencies as needed.
  • Collaborate with project managers, procurement teams, and administrative staff to gather necessary information and ensure data integrity.
  • Maintain organized electronic and physical filing systems to support easy retrieval of project documentation and records.
  • Assist in generating routine reports and summaries based on entered data to support project tracking and management decisions.

Skills:

The required skills such as attention to detail and computer proficiency are essential for accurately entering and managing large volumes of construction-related data daily. Candidates will use Microsoft Excel and other software tools to organize, analyze, and verify information, ensuring data integrity across multiple projects. Preferred skills like familiarity with construction software and terminology enhance the ability to understand the context of the data, improving communication with project teams and increasing efficiency. Strong organizational skills help manage multiple data sources and deadlines, while effective communication supports collaboration with colleagues to resolve discrepancies. Together, these skills enable the Data Entry Clerk to contribute meaningfully to the company’s operational success by maintaining reliable and accessible data.